Open Access
Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
---|---|---|
Article Number | 08010 | |
Number of page(s) | 7 | |
Section | Energy Management System | |
DOI | https://doi.org/10.1051/e3sconf/202454008010 | |
Published online | 21 June 2024 |
- UN Report 2018, “68% of the world population projected to live in urban areas by 2050”. https://www.un.org/development/desa/en/news/population/2018-revision-ofworld-urbanization-prospects.html [Google Scholar]
- Bibri, S.E. A novel model for data-driven smart sustainable cities of the future: the institutional transformations required for balancing and advancing the three goals of sustainability. Energy Inform 4, 4 (2021). https://doi.org/10.1186/s42162-021-00138-8 [CrossRef] [Google Scholar]
- Lăzăroiu, G., & Harrison, A. (2021). Internet of things sensing infrastructures and datadriven planning technologies in smart sustainable city governance and management. Geopolitics, History & International Relations, 13(2). [Google Scholar]
- Kaluarachchi, Y. (2022). Implementing data-driven smart city applications for future cities. Smart Cities, 5(2), 455–474. [CrossRef] [Google Scholar]
- Hunter, M.; Guensler, R.; Guin, A.; Saroj, A.; Roy, S. Smart Cities Atlanta—North Avenue. City of Atlanta Research Project (2019). Available online: http://realtime.ce.gatech.edu/RenewAtlanta-GeorgiaTech-Final-Report.pdf (accessed on 16 March 2022). [Google Scholar]
- Husár, M.; Ondrejička, V.; Varış, S.C. Smart Cities and the Idea of Smartness in Urban Development—A Critical Review. In IOP Conference Series: Materials Science and Engineering; IOP Publishing Ltd.: Bristol, UK, 2017; Volume 245. [Google Scholar]
- Roller, L.H.; Waverman, L. Telecommunication Infrastructure and Economic Development: A Simultaneous Approach. Am. Econ. Rev. 2001, 91, 909–923. [CrossRef] [Google Scholar]
- Yigitcanlar, T., & Kamruzzaman, M. (2018). Does smart city policy lead to sustainability of cities?. Land use policy, 73, 49–58. [CrossRef] [Google Scholar]
- Shamsuzzoha, A., Nieminen, J., Piya, S., & Rutledge, K. (2021). Smart city for sustainable environment: A comparison of participatory strategies from Helsinki, Singapore and London. Cities, 114, 103194. [Google Scholar]
- Atasoy, T., Akınç, H. E., & Erçin, Ö. (2015, November). An analysis on smart grid applications and grid integration of renewable energy systems in smart cities. In 2015 international conference on renewable energy research and applications (ICRERA) (pp. 547–550). IEEE. [CrossRef] [Google Scholar]
- Şerban, A. C., & Lytras, M. D. (2020). Artificial intelligence for smart renewable energy sector in europe—smart energy infrastructures for next generation smart cities. IEEE access, 8, 77364–77377. [CrossRef] [Google Scholar]
- Petrović, N., & Kocić, Đ. (2020). Data-driven framework for energy-efficient smart cities. Serbian Journal of Electrical Engineering, 17(1), 41–63. [CrossRef] [Google Scholar]
- Khan, M., Silva, B. N., Jung, C., & Han, K. (2017). A context-Aware Smart Home Control System based on ZigBee Sensor Network. KSII Transactions on Internet & Information Systems, 11(2). [Google Scholar]
- K. S. A. Sedzro, A. J. Lamadrid and L. F. Zuluaga, “Allocation of Resources Using a Microgrid Formation Approach for Resilient Electric Grids,” in IEEE Transactions on Power Systems, vol. 33, no. 3, pp. 2633–2643, May 2018, doi: 10.1109/TPWRS.2017.2746622. [CrossRef] [Google Scholar]
- Ferreira, R. S., Borges, C. L. T., & Pereira, M. V. (2014). A flexible mixed-integer linear programming approach to the AC optimal power flow in distribution systems. IEEE Transactions on Power Systems, 29(5), 2447–2459. [CrossRef] [Google Scholar]
- Zwe-lee Gaing, “Constrained optimal power flow by mixed-integer particle swarm optimization,” IEEE Power Engineering Society General Meeting, 2005, San Francisco, CA, USA, 2005, pp. 243–250 Vol. 1, doi: 10.1109/PES.2005.1489134. [Google Scholar]
- Maheshwari, A., Sood, Y. R., & Jaiswal, S. (2023). Flow direction algorithm-based optimal power flow analysis in the presence of stochastic renewable energy sources. Electric Power Systems Research, 216, 109087. [CrossRef] [Google Scholar]
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